Consistency Trajectory Planning: High-Quality and Efficient Trajectory Optimization for Offline Model-Based Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Guanquan, Hiraoka, Takuya, Tsuruoka, Yoshimasa |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences
by: Hiraoka, Takuya, et al.
Published: (2024)
by: Hiraoka, Takuya, et al.
Published: (2024)
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
by: Wan, Weikang, et al.
Published: (2024)
by: Wan, Weikang, et al.
Published: (2024)
Offline Trajectory Optimization for Offline Reinforcement Learning
by: Zhao, Ziqi, et al.
Published: (2024)
by: Zhao, Ziqi, et al.
Published: (2024)
Offline Reinforcement Learning of High-Quality Behaviors Under Robust Style Alignment
by: Petitbois, Mathieu, et al.
Published: (2026)
by: Petitbois, Mathieu, et al.
Published: (2026)
Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
by: Pan, Minting, et al.
Published: (2023)
by: Pan, Minting, et al.
Published: (2023)
Efficient Virtuoso: A Latent Diffusion Transformer Model for Goal-Conditioned Trajectory Planning
by: Guillen-Perez, Antonio
Published: (2025)
by: Guillen-Perez, Antonio
Published: (2025)
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
by: Pan, Minting, et al.
Published: (2025)
by: Pan, Minting, et al.
Published: (2025)
MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning
by: Guo, Yihong, et al.
Published: (2025)
by: Guo, Yihong, et al.
Published: (2025)
Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)
by: Ma, Yunchang, et al.
Published: (2025)
Diffusion Models as Optimizers for Efficient Planning in Offline RL
by: Huang, Renming, et al.
Published: (2024)
by: Huang, Renming, et al.
Published: (2024)
Policy-Based Trajectory Clustering in Offline Reinforcement Learning
by: Hu, Hao, et al.
Published: (2025)
by: Hu, Hao, et al.
Published: (2025)
Deep Learning Warm Starts for Trajectory Optimization on the International Space Station
by: Banerjee, Somrita, et al.
Published: (2025)
by: Banerjee, Somrita, et al.
Published: (2025)
Real-World Offline Reinforcement Learning from Vision Language Model Feedback
by: Venkataraman, Sreyas, et al.
Published: (2024)
by: Venkataraman, Sreyas, et al.
Published: (2024)
IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models
by: Ling, Yiyang, et al.
Published: (2025)
by: Ling, Yiyang, et al.
Published: (2025)
Offline Actor-Critic Reinforcement Learning Scales to Large Models
by: Springenberg, Jost Tobias, et al.
Published: (2024)
by: Springenberg, Jost Tobias, et al.
Published: (2024)
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)
by: Zheng, Yinan, et al.
Published: (2024)
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
by: Sikchi, Harshit, et al.
Published: (2023)
by: Sikchi, Harshit, et al.
Published: (2023)
Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization
by: Guo, Jian-Ting, et al.
Published: (2025)
by: Guo, Jian-Ting, et al.
Published: (2025)
Offline Reinforcement Learning with Generative Trajectory Policies
by: Feng, Xinsong, et al.
Published: (2025)
by: Feng, Xinsong, et al.
Published: (2025)
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
by: Su, Huikang, et al.
Published: (2025)
by: Su, Huikang, et al.
Published: (2025)
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
by: Lin, Qian, et al.
Published: (2023)
by: Lin, Qian, et al.
Published: (2023)
Offline Reinforcement Learning with Discrete Diffusion Skills
by: Qiao, RuiXi, et al.
Published: (2025)
by: Qiao, RuiXi, et al.
Published: (2025)
A Clean Slate for Offline Reinforcement Learning
by: Jackson, Matthew Thomas, et al.
Published: (2025)
by: Jackson, Matthew Thomas, et al.
Published: (2025)
Improving Offline Reinforcement Learning with Inaccurate Simulators
by: Hou, Yiwen, et al.
Published: (2024)
by: Hou, Yiwen, et al.
Published: (2024)
Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots
by: Li, Chenhao, et al.
Published: (2025)
by: Li, Chenhao, et al.
Published: (2025)
Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
by: Huang, Jianuo
Published: (2024)
by: Huang, Jianuo
Published: (2024)
Improving Trajectory Stitching with Flow Models
by: O'Mahoney, Reece, et al.
Published: (2025)
by: O'Mahoney, Reece, et al.
Published: (2025)
Towards Bio-Inspired Robotic Trajectory Planning via Self-Supervised RNN
by: Cibula, Miroslav, et al.
Published: (2025)
by: Cibula, Miroslav, et al.
Published: (2025)
Causal Flow Q-Learning for Robust Offline Reinforcement Learning
by: Li, Mingxuan, et al.
Published: (2026)
by: Li, Mingxuan, et al.
Published: (2026)
Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning
by: Lee, Dongsu, et al.
Published: (2025)
by: Lee, Dongsu, et al.
Published: (2025)
Forecasting in Offline Reinforcement Learning for Non-stationary Environments
by: Ada, Suzan Ece, et al.
Published: (2025)
by: Ada, Suzan Ece, et al.
Published: (2025)
Variational OOD State Correction for Offline Reinforcement Learning
by: Jiang, Ke, et al.
Published: (2025)
by: Jiang, Ke, et al.
Published: (2025)
Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning
by: Baek, Seungho, et al.
Published: (2025)
by: Baek, Seungho, et al.
Published: (2025)
Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
by: Huang, Xingshuai, et al.
Published: (2024)
by: Huang, Xingshuai, et al.
Published: (2024)
Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
by: Hussing, Marcel, et al.
Published: (2023)
by: Hussing, Marcel, et al.
Published: (2023)
Resilient UAV Trajectory Planning via Few-Shot Meta-Offline Reinforcement Learning
by: Eldeeb, Eslam, et al.
Published: (2025)
by: Eldeeb, Eslam, et al.
Published: (2025)
VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning
by: Cheng, Ming, et al.
Published: (2024)
by: Cheng, Ming, et al.
Published: (2024)
Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
by: Song, Yeda, et al.
Published: (2024)
by: Song, Yeda, et al.
Published: (2024)
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
by: Zhao, Kai, et al.
Published: (2023)
by: Zhao, Kai, et al.
Published: (2023)
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)
by: Liu, Tenglong, et al.
Published: (2024)
Similar Items
-
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences
by: Hiraoka, Takuya, et al.
Published: (2024) -
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
by: Wan, Weikang, et al.
Published: (2024) -
Offline Trajectory Optimization for Offline Reinforcement Learning
by: Zhao, Ziqi, et al.
Published: (2024) -
Offline Reinforcement Learning of High-Quality Behaviors Under Robust Style Alignment
by: Petitbois, Mathieu, et al.
Published: (2026) -
Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
by: Pan, Minting, et al.
Published: (2023)